Enhancing measurement efficiency for 3D printed magnet through radial basis function interpolation

This study proposes a method that combines computer-aided design (CAD) of magnetic objects with magnetic flux simulation data to generate measurement points. The researchers of this study employed radial basis function (RBF) equations, which were applied within an existing automated magnetic measurement system platform, to reconstruct the magnetic flux density distribution of the tested object. This study specifically concentrates on using magnetized objects produced through additive manufacturing as the measurement subjects. Specifically, the NdFeB magnet examined in our study was fabricated using the pallet deposition modeling (PDM) method and was later magnetized using an electromagnet. These objects were integrated into existing simulation software, and measurement points with high magnetic flux variation were selected based on the magnetic characteristics. The data acquired from these points serves as control points for RBF interpolation, facilitating the reconstruction of magnetic flux distribution. Through this approach, a notable improvement in measurement speed and accuracy was effectively achieved.